All Services

Generates a two-input scenario grid comparing Bitcoin mining pool payouts against expected rewards across combinations of received_btc and expected_btc values.

Spends exactly 5 USDC to buy pr tokens (0x87f0c380Dae2d33264350cf5307E765B123deB07) on behalf of the caller, returning the tokens received and transaction hashes.

Fetches a list of currently popular songs trending on TikTok.

Retrieve authenticated listing details for luxury fashion, watches, and rare collectibles by slug identifier.

Returns a plain-prose decision procedure for how an autonomous agent should handle accountability and dispute resolution after completing an x402 payment transaction.

Returns a decision procedure for agents on when and how to use hybrid ML-KEM (Kyber) key encapsulation to encrypt x402 payment metadata before it reaches a facilitator, wallet, or settlement rail.

Returns a paid, LLM-generated decision procedure for verifying ML-DSA/SLH-DSA and hybrid X.509 post-quantum signatures on x402/MPP settlement receipts, including rejection thresholds and classical fallback logic.

Returns an LLM-generated decision procedure brief guiding agents on how to reconstruct and verify audit trails after x402 payment settlement

Resends a previously created cost estimate to its intended recipient via email

Checks the status of a previously requested CSV export job for blockchain transaction data on a specified chain

Submit blockchain addresses to Blockscout's metadata extractors for enrichment and indexing across multichain data sources

Returns the total count of Scroll L2 batches submitted to the Ethereum mainnet for a given chain

Retrieves all available public tag types used to categorize addresses, transactions, and entities on Blockscout's multichain blockchain explorer

Scores a prompt for quality across multiple AI models and verticals, returning a comparative quality assessment

Evaluates an autonomous agent action against holder policy before execution, returning an explicit allow/deny/defer verdict with reasoning and denial recording.

Returns a sample breakdown of academic publications on precision agriculture, including DOI references and source attributions from Crossref publisher metadata.

Returns DOI references and funding attribution for research papers on precision agriculture using Crossref publisher metadata

Returns structured academic citation records (DOI references and source attribution) on precision agriculture topics using Crossref publisher metadata.

Calculates return on investment (ROI) for a prediction market position given an entry price and resolution outcome.

Validates a CSV of prediction result import data and reports all blank/empty rows within it

Validates cell lengths in a CSV of prediction result imports, auditing each cell against a configurable maximum character length limit.

Computes per-column statistics for a CSV of prediction result records, validating up to 1000 rows against a declared schema contract.

Validates a CSV of prediction results and reports exact row duplicates, up to 1000 rows, against a declared table contract.

Validates the header contract of a CSV file containing prediction result data, checking column names, types, and constraints for up to 1000 rows.

Validates a CSV table of prediction result imports and returns a located error report identifying cell-level issues, supporting up to 1000 rows.

Validates numeric values in a CSV of prediction results to ensure all figures fall within a declared minimum-maximum range.

Validates that all record keys in a CSV of prediction result imports are unique, returning a uniqueness report for up to 1000 rows.

Validates that all required cells are present and non-empty in a CSV file representing prediction result import data, up to 1000 rows.

Validates a CSV table of prediction result imports and flags cells containing spreadsheet formulas, supporting up to 1000 rows with quoted cells.

Validates and normalizes a CSV table of prediction results by trimming whitespace, inferring types, and enforcing schema contracts up to 1000 rows.

Validates a CSV table of prediction results (up to 1000 rows) and returns a structured validation summary report.

Validates whitespace formatting in a CSV file containing prediction result data, auditing up to 1000 rows for whitespace issues in cells.

Extracts and joins all visible text from <pre> elements on a webpage or supplied HTML, filtered by a search term and optional attribute match.

Returns the definition of a given word as plain text, paid via USDC on Base using the x402 payment protocol.

Top up a prepaid credit balance for agentsvc.io's API marketplace using USDC on Base or Solana via x402 payment protocol

Verifies an agent's published MCP Server Card, A2A Agent Card, Agent Skills manifest, and x402 discovery metadata before payment, returning a precheck receipt and refuse-before-pay gate decision.

Returns a paid AI-generated decision procedure (plain prose brief) for vetting contract terms before settlement, tailored for autonomous agents operating in x402 payment contexts

Extracts action-marker lines (e.g. TODO, deadline, or task items) from press release Markdown or plain text documents using deterministic template-based processing.

Splits press release Markdown or plain text into bounded, size-limited text chunks deterministically

Masks email addresses and phone numbers in press release text using deterministic pattern matching, returning sanitized Markdown or plain text.

Audits the heading hierarchy structure of a press release document supplied as Markdown or plain text, up to 20,000 characters.

Extracts and outputs a structured heading outline from a press release document supplied as Markdown or plain text

Extracts and inventories all HTTP links found within a press release document supplied as Markdown or plain text

Scans a press release document and inventories all ISO-date patterns found within the text

Analyzes a press release document to produce a deterministic length and paragraph profile including structural metrics.

Generates a paragraph-level change report comparing a new press release draft against a previous version, using deterministic document processing.

Extracts and inventories all quoted passages from a press release document supplied as Markdown or plain text

Audits a press release document to verify all required sections are present and properly structured

Extracts and isolates individual sections (e.g. headline, announcement, contact) from a press release document supplied as Markdown or plain text.

Scans a supplied press release document and returns coverage analysis for a user-specified list of terms, using deterministic processing without generative AI.

Normalises whitespace in press release Markdown or plain text, producing a consistently formatted, clean document up to 20,000 characters.

Runs a deterministic parity gate before swapping a frontier AI model for a task, comparing outputs for semantic drift, tool-call format stability, cost, and latency to return a ship/hold/ship-with-guardrails verdict.

Aggregates multi-source risk signals for a given ERC-20 token on Base and returns a consensus verdict before an autonomous agent executes a trade.

Purchases exactly $5 USDC worth of PRB (prettybitch) tokens on behalf of the caller via an automated swap

Purchases exactly $1 USDC worth of PRB tokens (0xb02ec227Ba060Ee60E205c8a626F2330DD4a5B07) on behalf of the caller

Audits the on-chain token supply of a blockchain asset by querying live consensus state via the AmanChain node, paid per call via x402 in USDC.

Calculates staking rewards for blockchain pools using live on-chain consensus state, paid per call via x402 in USDC

Retrieves the roster of on-chain agents available on the AmanChain node, returning live agent listings from consensus state.

Inspects on-chain block data from AmanChain live consensus state, returning block details, transactions, and pool/balance information for a given block or query.

Search for on-chain services available on the AmanChain network, returning matching service listings by query

Extracts keywords, named entities, and topics from input text, paid per call via x402 in USDC on Base.

Checks on-chain state to evaluate whether a token launch meets readiness or validity criteria, using live consensus data from AmanChain nodes

Returns a high-level on-chain explorer summary of a blockchain address, transaction, or block — queried live against AmanChain consensus state

Retrieves on-chain liquidity pool analytics from live blockchain consensus state, paid per call via x402 in USDC on Base.

Retrieves live blockchain network statistics from AmanChain including node count, consensus state, pool data, and balances, paid per call via x402 in USDC.

Computes the benchmark correlation for retail prices after applying a capped percentage discount coupon, across up to 200 row pairs.

Computes a distribution histogram of final prices after applying a percentage-based coupon capped at a maximum discount amount, across up to 200 retail records.

Computes a statistical distribution summary of final prices after applying a percentage-based discount coupon with a maximum cap, across up to 200 retail line items.

Identifies IQR-based statistical outliers in a batch of retail prices computed after applying a capped percentage discount coupon.

Computes the local finite-change price elasticity for a retail price model that applies a percentage discount capped at a maximum dollar amount.

Compares named pricing scenarios for a retail item with a percentage-based coupon that has a maximum discount cap, returning the final price for each scenario.

Generates a one-input sensitivity table showing how the post-coupon price varies as a single input parameter (list price, discount percent, or maximum discount) changes across a user-supplied range of values.

Ranks up to 200 retail records by their final price after applying a percentage-based discount capped at a maximum dollar amount.

Calculates the gap between the price after applying a capped percentage coupon and a user-supplied target price, using provided retail figures.

Classifies whether the final price after applying a capped percentage discount falls within a specified lower/upper threshold range, for up to 200 retail records per call.

Computes the weighted mean of final prices after applying a percentage discount capped at a maximum dollar amount, across up to 200 retail price rows.

Calculates the final price after applying a percentage discount for a batch of up to 200 retail line items in a single call.

Calculates and compares the final prices after applying percent discounts to two different retail price/discount scenarios (before and after).

Calculates the price after a percent discount and flags IQR-based statistical outliers across a set of retail price rows.

Compares multiple named pricing scenarios for percent-discount calculations against a baseline, returning final prices for each scenario locally without live inventory or platform data.

Ranks up to 200 supplied product records by their calculated post-discount price (list price minus percent discount), returning an ordered ranking without accessing live inventory or external platforms.

Computes a rolling mean of price-after-percent-discount values over a sliding window across a supplied series of list price and discount percent pairs.

Calculates the gap between a discounted price (list price minus percent discount) and a specified target price, enabling scenario analysis for retail pricing decisions.

Calculates the post-discount price from a list price and discount percentage, then classifies each result as above, below, or within a specified numeric threshold range.

Generates a two-dimensional scenario grid showing final prices after applying varying list prices and discount percentages, with no live data or order execution.

Computes the weighted mean of post-discount prices given a list of list prices, discount percentages, and per-row weights.

Reports price bands derived exclusively from settled, confirmed market observations

Returns OHLC (open/high/low/close) price history for crypto assets using live on-chain consensus data, paid per call via x402 in USDC.

Calculates the Pearson correlation between computed price-index inflation rates and user-supplied benchmark values, returning a JSON report with formula, units, and stated limitations.

Calculates the inflation rate from two price index values and measures the gap between that calculated rate and a user-supplied numeric target.

Validates calendar date fields in a CSV price quote import file, checking up to 1000 rows for date correctness against configurable constraints.

Validates that all supplier/category values in a CSV of price quote records are within a declared allowlist, returning a structured compliance report.

Validates cell length constraints in a price quote CSV file, checking that each cell does not exceed a configurable maximum character length.

Validates a CSV of price quote import data and returns per-column descriptive statistics for up to 1000 rows.

Validates a declared CSV column contract for price quote import data, checking structure, types, and value constraints across up to 1000 rows.

Detects exact duplicate rows in a price quote CSV file, validating up to 1000 rows against a declared table contract.

Validates the header contract of a CSV table of price quotes against declared constraints, returning a contract check report for up to 1000 rows.

Validates a CSV of price quote records against declared constraints and returns a report of invalid rows

Validates numeric values in a price quote CSV file against configurable minimum and maximum bounds, reporting any out-of-range cells.

Validates numeric fields in a price quote CSV by checking that all declared numeric columns contain properly typed, in-range values.